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Data Analytics Associate Jobs in Houston, TX (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Data Strategy-Senior Manager

Houston, TX · On-site

$124K - $280K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Data Analytics Associate information

See Houston, TX salary details

$3.1K

$6K

$8.6K

How much do data analytics associate jobs pay per month?

As of Jun 15, 2026, the average monthly pay for data analytics associate in Houston, TX is $6,007.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,450.00 and $6,408.33 per month, depending on experience, location, and employer.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting insights, making strategic decisions, and managing complex datasets. The role of a Data Analytics Associate involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

What does the data analysis associate do?

A Data Analytics Associate collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports, often working under the guidance of senior analysts or managers. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analytics jobs in Houston, TX? The most popular types of Data Analytics jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Analytics Associate jobs? Cities near Houston, TX with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Houston, TX as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $72,088 per year, or $34.7 per hour.
Managed Services - Data and Analytics - Enhancements Analytics (Qlikview, Tableau) - Senior Asso...

Managed Services - Data and Analytics - Enhancements Analytics (Qlikview, Tableau) - Senior Asso...

Pwc

Houston, TX • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team, you will support the development and optimization of advanced AI models and data solutions. As a Senior Associate, you will lead data architecture initiatives, collaborate with engineers and data scientists, and verify compliance with data governance standards. This role offers a unique chance to enhance your technical knowledge while driving impactful data-driven strategies.
Responsibilities
- Proficiency in using Qlikview, Tableau and Qlik Sense, which are data visualization and business intelligence tools.
- Ability to develop, design, and maintain dashboards and reports.
- Skills in data modeling, scripting, and creating interactive visual analytics.
- Understanding of data sources, data integration, and ETL (Extract, Transform, Load) processes.
- Experience in interpreting business requirements and translating them into technical solutions using Qlik products.
- Support the development of advanced AI models and data solutions
- Lead initiatives in data architecture and refinement
- Collaborate with engineers and data scientists on projects
- Confirm adherence to data governance and compliance standards
- Analyze data to drive strategic decision-making
- Mentor team members to enhance their technical skills
- Identify opportunities for innovation in data strategies
- Communicate findings and recommendations to stakeholders
The preference for these needs could fall within Data Analytics specific to QlikView / Qlik Sense OR Epic Reporting
Additional Skills Epic reporting:
- Familiarity with Epic Systems, particularly its reporting modules.
- Experience with generating, customizing, and managing reports within Epic's healthcare software system.
- Knowledge of clinical, operational, or financial data within Epic.
- Ability to extract and analyze data from the Epic database for decision-making.
- Understanding of healthcare workflows and how reporting supports patient care and administrative processes.
What You Must Have
- Bachelor's Degree
- At least 5 years of experience in data analytics and business intelligence
What Sets You Apart
- Demonstrating leadership in AI model operations
- Supporting performance optimization and monitoring
- Assisting with prompt tuning and model retraining
- Participating in incident response and root cause analysis
- Collaborating with engineers on GenAI applications
- Utilizing orchestration frameworks for pipeline validation
- Maintaining compliance with data access policies
- Leading data architecture and design implementations
- Building advanced data warehousing solutions

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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